Results 11 to 20 of about 4,397 (119)
野生动物学报, 2021 为提高动物医疗行为训练水平，提升广大民众对野生动物的保护意识，针对黑猩猩（Pan troglodytes）开展了医疗行为训练并结合科普讲解进行展示。训练期为6个月，训练动物为圈养成年黑猩猩雌雄各1只，训练包含测额温、触诊、B超检查和采血等项目，训练地点分为室内训练和展厅2个部分。通过桥接食物-哨声配对机制在人-黑猩猩之间建立有效地沟通方式，为后续训练建立基础。经过系统训练后，2只黑猩猩基本完成训练目标，可以向游客展示黑猩猩医疗行为。动物医疗行为训练方便对动物的诊治，可以提升动物福利水平，践行动物保护理念，
王聪俞锦华张卫平谢春雨
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智能科学与技术学报, 2022 针对某卫星搭载的4自由度机械臂轨迹规划问题，提出了一种基于改进的双延迟深度确定性策略梯度（TD3）算法的智能规划方法。该方法采用分阶段训练策略，在预训练阶段，采用了目标位置引导联合TD3算法进行轨迹优化的混合规划策略，训练结束后规划算法能够在机械臂关节空间对任意起点、终点进行速度轨迹的自主规划。这种目标引导机制减少了训练时不必要的探索，在一定程度上解决了高维动作空间中学习效率低下的问题。在二次训练阶段，首先通过示教获得一条无碰撞的安全参考轨迹，然后在训练过程中不断对这条轨迹进行模仿 ...
张强 +4 more
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野生动物学报, 2022 对圈养动物进行正强化行为训练是国内外动物园发展的大趋势,近几年国内各地动物园也陆续开展训练,并取得一定成果。南宁市动物园从2020年10月对1只东北虎(Panthera tigris altaica)开展正强化行为训练,利用指令和响片的正向引导,加以食物作为奖励,培养期望行为。经过训练,东北虎可不必麻醉、保定,能主动配合训练员完成定位、口腔检查、前爪检查、尾部抽血和串笼的训练项目,这减少了应激反应,也减轻了饲养员的工作量,表明正强化行为训练能提高动物福利,对训练员开展日常工作能起到积极作用。
张 政 +5 more
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Conservation Biology, EarlyView.Abstract Ecological niche models (ENMs) are used to assess the abiotic preferences of species by linking their occurrences to the environmental conditions in which they live. We developed a fossil‐informed ENM framework that integrates mid‐Holocene and modern occurrences to test niche stability and reconstruct abiotic niche characteristics for four ...
Claire. M. Williams +3 more
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AI foundation models in plant biology
New Phytologist, EarlyView.Foundation models decode genomes, engineer proteins, phenotype crops, and drive AI agents across plant biology. This figure was created in BioRender (BioRender.com/xcmmkel). Summary Rapid technological progress has enabled plant biologists to accumulate unprecedented volumes of multi‐scale, multi‐modal data, yet this abundance of data has intensified ...
Haopeng Yu
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Rare Metals, Volume 45, Issue 7, July 2026.ABSTRACT Developing advanced electrocatalysts for urea synthesis is pivotal to alleviating environmental burdens as well as advancing sustainability in the industrial and agricultural sectors, yet untargeted catalyst screening still suffers from the notorious drawbacks of being time‐consuming, labor‐intensive, and inefficient.
Xinyuan Yang +8 more
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Methods in Ecology and Evolution, Volume 17, Issue 7, Page 2123-2134, July 2026.Abstract Elliptic Fourier analysis (EFA) is often employed in geometric morphometrics (GM), but the normalization of elliptic Fourier descriptor (EFD) has persistently posed challenges for obtaining unique and comparable results, especially in the application of outline‐based GM methods, which limits the implementation in automated analysis of numerous,
Hui Wu +6 more
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Rare Metals, Volume 45, Issue 6, June 2026.ABSTRACT LiBH4 has drawn significant attention due to its high theoretical hydrogen storage capacity of 18.5 wt%, yet its practical application is hindered by the harsh dehydrogenation conditions. This paper proposes a strategy integrating ensemble learning with density functional theory (EL–DFT) for rapidly screening modified LiBH4 systems that ...
Zishan Luo +11 more
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Methods in Ecology and Evolution, Volume 17, Issue 4, Page 1143-1160, April 2026.Abstract DNA barcode‐based species identification has become pivotal in biodiversity research. Current barcoding‐based deep learning methods have advantages in species identification but exhibit significant limitations. By using COI barcoding alone, previous studies were unable to fully capture species identification features. Prior methods showed that
Bin Ye +4 more
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Conservation Biology, Volume 40, Issue 2, April 2026.Abstract Illegal wildlife trade (IWT) is one of the largest global illegal activities, and it negatively affects biodiversity and sustainable development worldwide. DNA barcoding coupled with high‐throughput sequencing (i.e., metabarcoding) is useful in identifying taxa affected by IWT and has been used routinely for decades.
Maria Joana Ferreira da Silva +9 more
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